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Aging Research Jobs (NOW HIRING)

Calico

Head, Research

South San Francisco, CA · On-site

$314K - $360K/yr

Join our collaborative, cross-functional environment at the forefront of aging research, work alongside world-class technology labs, lead ambitious research projects that transform our understanding ...

Calico

Head, Research

South San Francisco, CA · On-site

$314K - $360K/yr

Join our collaborative, cross-functional environment at the forefront of aging research, work alongside world-class technology labs, lead ambitious research projects that transform our understanding ...

BioTalent

Research Scientist

Torrance, CA · On-site

Research Scientist - Aging & Retinal Biology Our client is seeking a highly motivated Research Scientist to support a growing aging and retinal assay platform within their neurodegeneration portfolio.

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How much do aging research jobs pay per hour?

As of May 28, 2026, the average hourly pay for aging research in the United States is $31.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $38.22 per hour, depending on experience, location, and employer.

What is an Aging Research job?

An Aging Research job involves studying the biological, psychological, and social aspects of aging to improve health outcomes and quality of life for older adults. Professionals in this field work in academia, healthcare, biotech, or government, conducting research on aging-related diseases, longevity, and interventions to promote healthy aging. They may analyze genetic, environmental, and lifestyle factors that influence aging processes. Careers in aging research include roles such as gerontologists, biomedical researchers, data analysts, and healthcare policy experts. The goal is to develop strategies for extending healthspan and addressing age-associated challenges.

What are the key skills and qualifications needed to thrive in the Aging Research position, and why are they important?

To thrive in Aging Research, you need a strong background in biology, gerontology, epidemiology, or a related scientific field, often supported by an advanced degree such as a PhD or MD. Proficiency with statistical analysis software (like SPSS or R), laboratory techniques, and knowledge of research compliance standards is commonly required. Attention to detail, strong analytical thinking, and effective communication are important soft skills in this role. These competencies are critical for designing rigorous studies, analyzing complex data, collaborating across disciplines, and translating research findings into actionable insights for aging populations.

What types of projects or research topics can I expect to work on in an Aging Research role?

Professionals in Aging Research may investigate a wide range of topics, including the biology of aging, age-related diseases (such as Alzheimer's or osteoporosis), healthy aging interventions, and social or policy issues impacting older adults. You might conduct laboratory experiments, analyze clinical trial data, or engage in longitudinal studies observing aging populations over time. Additionally, you’ll likely collaborate with interdisciplinary teams including clinicians, social workers, and healthcare administrators. This variety allows you to both specialize in a particular area and gain exposure to diverse aspects of aging, giving you ample opportunity to advance your expertise and career.
More about Aging Research jobs
What cities are hiring for Aging Research jobs? Cities with the most Aging Research job openings:
What are the most commonly searched types of Aging Research jobs? The most popular types of Aging Research jobs are:
What states have the most Aging Research jobs? States with the most job openings for Aging Research jobs include:
What job categories do people searching Aging Research jobs look for? The top searched job categories for Aging Research jobs are:
Aging Research jobs near you
Infographic showing various Aging Research job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $64,958 per year, or $31.2 per hour.

Senior Scientist or Postdoctoral Researcher-Furman Lab

Buck Institute for Research on Aging

Novato, CA • On-site

$125K - $140K/yr

Full-time

Posted 6 days ago

Job description

Computational Biology & Aging / Bioinformatics Core Co-Director
Location: Novato, CA
Position Type: Full-time, onsite required
Salary Range: $125,000-$140,000, depending on experience
About the Opportunity
The Furman Lab at the Buck Institute for Research on Aging invites applications for a Senior Scientist or Postdoctoral Researcher to join a newly initiated, five-year government-funded research program focused on understanding the mechanisms of aging and developing interventions to extend healthspan. This is an exceptional opportunity to contribute to large-scale, multi-institutional science at one of the world's foremost dedicated aging research institutes.
In addition to their research role within the project, the successful candidate will serve as Co-Director of the Buck Institute's Bioinformatics and Data Science Core, playing a central role in expanding the Core's capacity, service offerings, and scientific impact across the Institute.
Primary Responsibilities
  • Develop and apply computational pipelines for the analysis of large-scale multi-omics datasets, including genomic, transcriptomic, epigenomic, and proteomic data, in the context of aging research.
  • Build and refine integrative models of biological aging using longitudinal cohort and experimental data generated within the project consortium, including AI/ML-based approaches.
  • Collaborate closely with experimental and clinical investigators to translate biological questions into rigorous analytical frameworks.
  • Contribute to the design of computational strategies for cross-platform data harmonization, quality control, and reproducible analysis.
  • Serve as Co-Director of the Bioinformatics and Data Science Core, providing analytical consultation and support to Buck Institute investigators.
  • Help define Core priorities and participate in efforts to grow the Core's scientific and operational capacity.
  • Mentor junior trainees and research staff in computational methods and best practices.
  • Contribute to manuscripts, grant reports, and presentations disseminating project findings to the broader scientific community.
Qualifications
Senior Scientist Level
Candidates for the Senior Scientist level should have:
  • Ph.D. in bioinformatics, computational biology, biostatistics, systems biology, or a related discipline, with substantial postdoctoral or equivalent experience.
  • Demonstrated record of independent research, as evidenced by peer-reviewed publications in high-quality journals.
  • Proven expertise in the analysis of next-generation sequencing data, such as RNA-seq, ATAC-seq, single-cell omics, whole-genome sequencing, or whole-exome sequencing.
  • Experience leading or co-leading collaborative research projects and mentoring trainees.
Postdoctoral Researcher Level
Candidates for the Postdoctoral Researcher level should have:
  • Ph.D. in bioinformatics, computational biology, biostatistics, or a closely related field, awarded within the past five years or expected imminently.
  • Strong analytical foundation with demonstrated proficiency in multi-omics data analysis, including published or preprint research.
  • Enthusiasm for developing an independent research program within a collaborative and highly supportive environment.
Required Technical Skills
  • Proficiency in one or more scientific programming languages, such as Python or R.
  • Fluency with standard bioinformatics toolkits, such as Bioconductor, Seurat, Scanpy, GATK, STAR, or DESeq2.
  • Experience training, validating, diagnosing, and fine-tuning machine learning models, preferably multimodal models.
  • Familiarity with statistical methods for multi-omics data integration, dimensionality reduction, and biological network analysis.
  • Commitment to rigorous, reproducible, versioned, and well-documented computational research practices.
Preferred Qualifications
  • Prior research experience in aging biology, geroscience, or the analysis of aging-related cohorts or model organism datasets.
  • Experience with epigenomic clock methodologies, biological age estimation, or related computational frameworks.
  • Experience integrating heterogeneous data, electronic health records, or large clinical datasets.
  • Familiarity with multi-step agentic workflows, retrieval-augmented generation, and vector search methods.
  • Experience with high-performance computing environments and workflow management systems.
  • Familiarity with cloud computing platforms, such as AWS, Google Cloud, or equivalent, for large-scale data analysis.
  • Experience contributing to or directing a bioinformatics core or shared resource facility.
About the Buck Institute
The Buck Institute for Research on Aging is a world leader in aging research, with a mission to end the threat of age-related disease. The Institute brings together scientists from diverse disciplines to understand the biology of aging and translate discoveries into interventions that promote longer, healthier lives.
The Buck Institute is an equal opportunity employer and welcomes applications from candidates of all backgrounds. We are committed to creating an inclusive environment for all employees.
To Apply
Interested candidates should submit a curriculum vitae and cover letter briefly describing their research experience, computational expertise, interest in aging biology and the Bioinformatics and Data Science Core Co-Director role.

Apply